2023
DOI: 10.1016/j.tplants.2022.09.007
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Toward kingdom-wide analyses of gene expression

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Cited by 24 publications
(25 citation statements)
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“…Transcription retains a leading role for the understanding of gene functions and the discovery of biological pathways involved in plant evolution and crop improvement [ 114 ]. Transcriptomic technologies are growing rapidly and their progress in terms of sensitivity and cost-effectiveness has resulted in a great expansion of gene expression publicly available data [ 2 ].…”
Section: Comparative and Integrative Approaches For Data Exploitationmentioning
confidence: 99%
“…Transcription retains a leading role for the understanding of gene functions and the discovery of biological pathways involved in plant evolution and crop improvement [ 114 ]. Transcriptomic technologies are growing rapidly and their progress in terms of sensitivity and cost-effectiveness has resulted in a great expansion of gene expression publicly available data [ 2 ].…”
Section: Comparative and Integrative Approaches For Data Exploitationmentioning
confidence: 99%
“…With the development of high-throughput sequencing technology, plant RNA-seq datasets can be obtained rapidly and comprehensively [ 24 , 25 ]. This technology is now widely used in transcriptome gene expression analysis [ 26 ], secondary metabolism studies of plants [ 27 , 28 ], disease resistance mechanisms [ 29 ], biocontrol [ 30 , 31 ], and so on. RNA-seq datasets can also be used to study the molecular function of specific genes and to screen for internal reference genes [ 32 , 33 ].…”
Section: Introductionmentioning
confidence: 99%
“…Multi-omics methods, consisting of a combination of transcriptomics, metabolomics, genomics and/or proteomics, have been utilized in the drug discovery process and have been recognized as a useful tool to identify new targets and the mechanisms of lead compounds (Goff et al, 2020). The multi-omics strategy may also be used to discover plant metabolic genes and pathways using co-expression analysis and metabolite-based genome-wide association studies (Zhan et al, 2022;Zhao and Rhee, 2022;Julca et al;Lim et al, 2022;Usadel et al, 2009). Taken together, such multi-omics approaches may represent the means to address challenges associated with bioprospecting and bridge the knowledge gap.…”
Section: Introductionmentioning
confidence: 99%